SANDPIT: Integrating and Automating Airport Operations
Lead Research Organisation:
University of Nottingham
Department Name: School of Computer Science
Abstract
This project emerged from the Research Councils' Energy Programme Sandpit in Airport Operations held at Shrigley Hall, Cheshire between 10-14 November 2008. It represents a wide ranging multi-disciplinary and cross-institutional initiative to exploit recent research advances in automated search methodologies and decision support techniques for air operations (and other related areas). This project will open up a range of exciting and ambitious research directions in the crucially important area of airport operations. The proposed programme of research will build integrated computational models of four key airport operations: Take-off scheduling, Landing Scheduling, Gate Assignment and Baggage flow. The project will explore how to build computational models that represent the integration of these problems and it will explore how to develop effective multi-objective search methodologies which will employ the models. At the moment, these operations are addressed in an isolated (and often manual) way. The ultimate goal is to develop innovative search methodologies which are able to operate from a global perspective in order to provide airport operators with a much higher level of computer aided decision support than is available today. Integrating these four operations and exploring new and exciting ways of generating high quality solutions to the integrated problem is the broad basic aim of the proposal. We will work closely with colleagues at Manchester and Zurich airports to ensure that we have continuous access to real world expertise and data. The proposal brings together a balanced inter-disciplinary team of scientists and engineers to investigate a series of novel research challenges with the overall goal of underpinning the development of tomorrow's airport operations decision support systems.
Publications
Ascó A
(2013)
An analysis of constructive algorithms for the airport baggage sorting station assignment problem
in Journal of Scheduling
Atkin J
(2013)
Addressing the Pushback Time Allocation Problem at Heathrow Airport
in Transportation Science
Benlic U
(2017)
Breakout local search for the multi-objective gate allocation problem
in Computers & Operations Research
Benlic U
(2016)
Heuristic search for the coupled runway sequencing and taxiway routing problem
in Transportation Research Part C: Emerging Technologies
Chen J
(2016)
Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach
in IEEE Transactions on Intelligent Transportation Systems
Marsters P
(2015)
Pre-translational regulation of luteinizing hormone receptor in follicular somatic cells of cattle.
in Animal reproduction science
Ravizza S
(2013)
A more realistic approach for airport ground movement optimisation with stand holding
in Journal of Scheduling
Ravizza S
(2014)
Aircraft taxi time prediction: Comparisons and insights
in Applied Soft Computing
Ravizza S
(2013)
The trade-off between taxi time and fuel consumption in airport ground movement
in Public Transport
Ravizza S
(2017)
A combined statistical approach and ground movement model for improving taxi time estimations at airports
in Journal of the Operational Research Society
Ravizza, Stefan
(2012)
(2012) The trade-off between taxi time and fuel consumption in airport ground movement.
Weiszer M
(2015)
A real-time Active Routing approach via a database for airport surface movement
in Transportation Research Part C: Emerging Technologies
Weiszer M
(2018)
Preference-based evolutionary algorithm for airport surface operations
in Transportation Research Part C: Emerging Technologies
Weiszer M
(2015)
An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector
in Applied Energy
Weiszer, M
Emerging technologies
Weiszer, Michal
(2014)
A heuristic approach to greener airport ground movement.
Weiszer, Michal
(2014)
(2014) A multi-objective genetic algorithm for solving the airport ground movement problem.
Yan, Z
(2014)
International Journal of Emerging Technology and Advanced Engineering
in User Interface for Integrating Airport Operations
Description | This project has led to important advances in modelling and computational search methodologies for airport operations |
Exploitation Route | The work undertaken on this project has laid the foundations of ongoing work into real world airport operations. |
Sectors | Aerospace Defence and Marine |
Description | Mathematical models and algorithms for allocating scarce airport resources (OR-MASTER) |
Amount | £2,262,469 (GBP) |
Funding ID | EP/M020258/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2015 |
End | 09/2021 |
Description | Manchester Airport |
Organisation | Manchester Airport Plc |
Country | United Kingdom |
Sector | Private |
PI Contribution | Advice |
Collaborator Contribution | Advice and Data |
Impact | See publication list |
Start Year | 2009 |
Description | Zurich Airport |
Organisation | Zurich Airport |
Country | Switzerland |
Sector | Private |
PI Contribution | Advice |
Collaborator Contribution | Advice and Data |
Impact | See publications list |
Start Year | 2009 |